Religion โ a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channelโs own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 86% confidence. This is a modelโs judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured โ it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 3 other registered channels. The matching is on the text itself, not on Telegramโs forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts โ open both and compare (6 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp โ in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
โPublished firstโ means first in this corpus. We hold 20 comparable posts for this entry, running 5 April 2024 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detectorโs own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 4, the earliest publisher we hold is @thepenakhaulah. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through โ we do not keep publishing a claim we have withdrawn. Dispute an observation.
Also posting the same content
This channelโs posts match, word for word or near enough, posts on 3 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable โ 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times โ 60%, no better than a coin flip โ because it depends on how deep our own crawl happened to reach into each channelโs history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying โ a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story โ and this measurement cannot tell those apart. How this is measured.
3 measurements spanning 4 days, net -2. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between โ snapshots are recorded only when a count changes, so gaps mean โno change observedโ, never โinterpolatedโ. The vertical axis spans 1,797โ1,799 and does not start at zero.
Measurement log โ every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 06:52
1,797
-2
7 Aug 2026, 01:51
1,799
no change
6 Aug 2026, 13:48
1,799
first reading
Engagement
21 posts held, back to 5 April 2024 โ the reader has not yet reached the start of this channelโs public history, so older posts may sit further back, unread. Read across 2 pagesof Telegramโs post history, 20 posts per page.
ERR ยท 30 days
0.668%
avg views รท 1,797 subscribers
Avg views / post
12.0
1 post measured
Reaction rate
โ
this channel exposes no reaction counts
Posts in window
1
of 21 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) รท viewsโ note the denominator is views, not subscribers. Telegramโs public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days ยท latest post in window 7 August 2026
Posts held
21 (5 April 2024 โ 7 August 2026)
Views total
12
Reactions total
โ
Forwards / comments
not exposed by the public surface โ not measured, not estimated
Readings taken
7 Aug 2026, 17:30 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than โcorrectingโ the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form โ 8.12K, 3.7M โ so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded โ read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Reaction mix
69 reactions across 19 posts, in 4 distinct kinds. The most used accounts for 89.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
โค
62
89.9%
๐ข
4
5.80%
๐
2
2.90%
๐ฅฐ
1
1.45%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities โ ๐ is thanks in one channel and mourning in another โ so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one โ 4.34K, 1.2M โ so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 19 of the 21 sampled posts in this sample. Summed by Telegramโs own count on each post โ not by adding up the per-emoji breakdown above โ those same posts carry 69reactions in total: the kind of figure the paragraph above means by โa reaction total printed elsewhere on the pageโ.
Measured over the 21 most recent posts we hold, published 5 April 2024 to 7 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Assalamualaikum...
Mohon support my channel. Warยฒkan kepada semua kenalan kalian.
TQ. Semoga dengan sedikit pertolongan ini, kalian dipermudah semua urusan.
Aamiinโฅ๏ธ
๐ง๐ถ๐ธ๐๐ผ๐ธ โฌ๏ธ
tiktok.com/@tuhankuatkanaku
๐ช๐ต๐ฎ๐๐๐๐ฝ๐ฝ โฌ๏ธ
https://whatsapp.com/channel/0029Vb67Zjm8F2p9jKKuKZ2K
Kenapa rezeki sempit & susah? Tengok cara kita bayar hutang. Itulah gambarannya.
Kalau kita dah berhutang tetapi kita lambat-lambatkan bayar, macam tu jugalah rezeki datang kepada kita.
Kalau kita selalu sulitkan bayar hutang, macamtu jugalah rezeki hadir kepada kitaโฆ sulit.
๐ฅโ๏ธ - @CoretanRingkas
Mengapa Allah tak pernah putarkan waktu kembali ke belakang? Sekali pun Dia mampu untuk lakukan apa sahaja.
Kerana Allah tak mahu kita sambil lewa dan anggap remeh tentang waktu yang kita tinggalkan walau pun sesaat.
๐ฅโ๏ธ - @CoretanRingkas
Kehidupan ini segalanya milik Allah. Termasuklah rezeki yang kita dapat.
Maka teruslah yakin dan percaya atas setiap yang kita usahakan. Andai itu kita punya, kita akan dapat. Kalau bukan, sekali pun kita dah usahakan sehabis baik, redha lah.
Allah akan bagi yang lebih indah.
๐ฅโ๏ธ - @CoretanRingkas
Ternyata hukuman Allah yang paling berat itu bukanlah ketika kita kehilangan harta benda, jawatan dan pangkat.
Tetapi hukuman yang paling berat daripada Allah adalah ketika Allah telah menutup hati kita untuk dapat berbuat baik dan rindu terhadap kebaikan.
Maka mohon ampunlah terhadap dosa kita. Supaya kita selamat daripada hukuman Allah yang sangat berat.
๐ฅโ๏ธ - @CoretanRingkas
Antara sebab utama kenapa kita kena jadi orang yang sangat bersabar dengan ujian dunia;
Sebab orang yang sangat sabar Allah akan beri pelepasan akhirat tanpa hisab.
Dekat mana biasanya kita diuji dengan sangat kuat?
Iya, tak lain tak bukan. Dalam rumah kita sendiri. Berhadapan dengan keluarga kita, itulah ujian paling kerap berlaku.
Maka untuk semua itu, bersabarlah. Demi akhirat kita bersama.๐คฒ๐ป
๐ฅโ๏ธ - @CoretanRiโฆ
KEMATIAN
Saat yang kita tak tahu bila. Dan dalam keadaan apa pun kita. Bersedia atau tidak, itu yang kita kena beringat selalu.
Sebab tu, nampak kesalahan orang lain, doakan kebaikan buat dia.
Moga nanti, itu berbalik semula ke kita. Maksudnya atas setiap kejahatan, kita sempat bertaubat atas sebab ada yang mendoakan kita.
Amin. ๐คฒ๐ป
๐ฅโ๏ธ - @CoretanRingkas
Semua yang berlaku di sekililing kita adalah peringatan dan ilmu yang Allah nak sampaikan pada kita.
Sekali pun kita terdengar perbualan orang lain masa tengah beli barang dekat pasaraya;
"Aku rasa lama dah aku tak bersedekah ni." Sembang akak sebelah dengan kawan dia.
Sayup kita dengar tapi tepat maksud tu ke gegendang telinga kita.
Fahamlah yang Allah nak kita muhasabah tentang sedekah kita.
Begitulah selalunyโฆ
Berusahalah jadi orang yang baik, yang beriman, yang kerap doakan buat orang lain, InsyaAllah hidup kita akan bahagia di dunia dan di akhirat.
Cukuplah pandangan Allah yang kita utamakan. Hati kita akan lebih tenang.
๐ฅโ๏ธ - @CoretanRingkas
โTuhan yang tidak langsung mengabulkan doamu adalah Tuhan yang sama yang tidak langsung menghukummu atas dosa-dosamu.โ
๐ฅโ๏ธ - @CoretanRingkas
Ya Allah, permudahkanlah apa yang sulit, dan lapangkanlah apa yang sempit.
๐ฅโ๏ธ - @CoretanRingkas
โค2
Showing the 12 most recent of 21 posts we hold for @CoretanRingkas. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked โ was rounded by Telegram before we ever saw it โ t.me prints views in full below 1,000 and to three significant figures above, so โ1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Citation-graph rank
Citation-graph rank โ 1,031,063 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below โ republished posts weigh more than named mentions โ and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channelโs name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page โ a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Mentions
Named by 3 registered channels โ every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched โ that handle may belong to someone else now, and crediting todayโs namer to yesterdayโs owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason โ naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides โ the โNamed by N registered channelsโ figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 10 August 2026 โ this
entry's latest reading, not the date you are reading this.
โCoretan Ringkasโขโฅ๏ธ๐โ (@CoretanRingkas), 1,797 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/CoretanRingkas.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV ยท JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.